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1.3. Kernel ridge regression — scikit-learn 1.8...
Kernel ridge regression (KRR)[M2012] combines Ridge regression and classification(linear least squares with L_2-norm regularization) with the kernel trick. It thus learns a linear function in the s...scikit-learn.org/stable/modules/kernel_ridge.html -
Robust vs Empirical covariance estimate — sciki...
The usual covariance maximum likelihood estimate is very sensitive to the presence of outliers in the data set. In such a case, it would be better to use a robust estimator of covariance to guarant...scikit-learn.org/stable/auto_examples/covariance/plot_robust_vs_empirical_covariance.html -
Lagged features for time series forecasting — s...
This example demonstrates how Polars-engineered lagged features can be used for time series forecasting with HistGradientBoostingRegressor on the Bike Sharing Demand dataset. See the example on Tim...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
Prediction Intervals for Gradient Boosting Regr...
This example shows how quantile regression can be used to create prediction intervals. See Features in Histogram Gradient Boosting Trees for an example showcasing some other features of HistGradien...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Multi-class AdaBoosted Decision Trees — scikit-...
This example shows how boosting can improve the prediction accuracy on a multi-label classification problem. It reproduces a similar experiment as depicted by Figure 1 in Zhu et al 1. The core prin...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.html -
Gaussian Mixture Model Sine Curve — scikit-lear...
This example demonstrates the behavior of Gaussian mixture models fit on data that was not sampled from a mixture of Gaussian random variables. The dataset is formed by 100 points loosely spaced fo...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_sin.html -
Set up your development environment — scikit-le...
Fork the scikit-learn repository: First, you need to create an account on GitHub (if you do not already have one) and fork the project repository by clicking on the ‘Fork’ button near the top of th...scikit-learn.org/stable/developers/development_setup.html -
Principal Component Regression vs Partial Least...
This example compares Principal Component Regression(PCR) and Partial Least Squares Regression(PLS) on a toy dataset. Our goal is to illustrate how PLS can outperform PCR when the target is strongl...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Features in Histogram Gradient Boosting Trees —...
Histogram-Based Gradient Boosting(HGBT) models may be one of the most useful supervised learning models in scikit-learn. They are based on a modern gradient boosting implementation comparable to Li...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
Blind source separation using FastICA — scikit-...
An example of estimating sources from noisy data. Independent component analysis (ICA) is used to estimate sources given noisy measurements. Imagine 3 instruments playing simultaneously and 3 micro...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html